Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/georgia/g10/E09748.hea (732 bytes) 
E09748 12 500 5000
E09748.mat 16x1+24 1000.0(0)/mV 16 0 -126 -32766 0 I
E09748.mat 16x1+24 1000.0(0)/mV 16 0 -29 20067 0 II
E09748.mat 16x1+24 1000.0(0)/mV 16 0 97 -11883 0 III
E09748.mat 16x1+24 1000.0(0)/mV 16 0 78 -26462 0 aVR
E09748.mat 16x1+24 1000.0(0)/mV 16 0 -112 -10813 0 aVL
E09748.mat 16x1+24 1000.0(0)/mV 16 0 34 -28716 0 aVF
E09748.mat 16x1+24 1000.0(0)/mV 16 0 78 -18286 0 V1
E09748.mat 16x1+24 1000.0(0)/mV 16 0 78 -4394 0 V2
E09748.mat 16x1+24 1000.0(0)/mV 16 0 97 8833 0 V3
E09748.mat 16x1+24 1000.0(0)/mV 16 0 48 -953 0 V4
E09748.mat 16x1+24 1000.0(0)/mV 16 0 48 -4883 0 V5
E09748.mat 16x1+24 1000.0(0)/mV 16 0 -29 28339 0 V6
# Age: 70
# Sex: Female
# Dx: 270492004,425623009,164934002
# Rx: Unknown
# Hx: Unknown